REZOLVE AI INVESTOR DAY: MARKET OPPORTUNITY - MICHELE FISHER - REZOLVE AI PLC

Hi everybody, I am so honored to be here today to get to talk to you about what it is that we are building for and who we're building it for. My name is Michelle Fisher. I'm the Chief Marketing Officer here at Resolve AI and I am absolutely thrilled to be a part of Resolve. I joined about four months ago. It's been about two decades for me in retail, starting all the way when I was selling bridal gowns to being able to be at the intersection of infrastructure and emerging technologies and storytelling with storied companies like Disney and Amazon. To get started, I don't think anybody is going to be surprised in this room that commerce is going through a monumental shift. It's a total redesign. And someone is going to build that infrastructure. And every single thing that we're building is ensuring that we are the company that is going be building it and transacting with it. The very nature of shopping has gone through a fundamental change. Merchants spent years developing strategies. And many of you may have even experienced this, where they put billions, millions and billions of dollars into strategies to improve their search, to be the first thing that people see when they go to Google. And now all of that is shifting to if you don't get chosen in the first three to four AI recommendations, you're practically invisible as a brand. 42% of shoppers consult with LLMs, according to an Adobe traffic report. And actually from the same report, shoppers referred to retail sites, through AI, convert 61 percent more often than customers who come through other channels. That's not a trend. That is an unbelievable change. So we'll go through a little bit of this big shift in the next slide here. Agentic Commerce is going through a multi-trillion dollar shift in a 30 trillion dollar industry. Retail is the demand signal for the global economy. It's impressive how in just such a short period of time we've seen retail shift from the old way that we used to go shopping, which I will go into in just a minute, to now three to five trillion going through what are predicted to be going through agentic commerce and through agents. Bain has actually predicted that 15 to 25 percent of commerce or 15 to 20 percent of all e-commerce by 2030 will actually be going through e- commerce as well. And just to restate, three to five trillion in 2030 will be going through agents as well, so merchants need to be ready. They need to ready their catalogs with machine readable data or face being invisible at the moment that a customer comes and has their query. If you are missed at this point in the three to four AI recommendations that people get when they're doing their shopping, at best you can consider that a lost opportunity. At worst you consider that, a missed sale. And that's what we're trying to solve. The sales funnel has essentially collapsed. And I'll give you an example of how that changes. And many of you have probably experienced this before yourselves, where you've gone and, for example, with me, I'm going to be in New York City again, I'm based in Seattle at NRF, and I'm gonna need a winter coat. When I go shopping and go to Google, this is the old experience, I've got all of these different recommendations, and there'll be sponsored products at the top, and I'll probably scroll past those and keep scrolling and scrolling and scroll endlessly. I might have to go to page two, page three, and I'll give up altogether. And I'll go to a site that I already know, to a brand that I know, where I'll be met with thousands of different categories, different filters, different colors. I'll have to pick my size. Am I petite or standard? Don't answer that. We know that. And it's such a frustrating experience. And it is not just a frustrating experience for me as a customer. It's a really frustrating experience when I actually get to the product that I want and it's out of stock and I give up entirely and go to a different brand because that merchant actually knew who I was. I went to that brand specifically because I returned an item three weeks ago, I had been in their store, I have a credit card on file and yet they can't actually track me and talk to me like at their own customer. And why they can do that is because there's data that is located in silos across an entire organization, whether or not it's the customer behavior in the CRM, or it's the catalog data that's in the PIM, or where my order is data that is going to be with supply chain, it's all in different areas. Now, the infrastructure that we're talking about is connecting the dots between that moment of discovery within AI and LLM recommendations all the way to capturing that moment once you enter the site, which I'll go through in that new experience which we are calling Resolve Commerce. So now let's fast forward to the happy future. And this will be the experience that I will experience as a customer when I'm working with Resolve Technology and a retailer. So now, let's go back. So I need that code again. It needs to be a warm winter code for NRF in January. And what I'm going to do is I'm actually just going to go to my favorite LLM. And this is the flywheel that we're talking about. I go to my favorite LLM. I type in all of the context that I need because it's actually not just NRF. I'm also going to need it prior for the ski season. It also has to be business casual. And how do you do business casual when you look like a marshmallow in these winter coats? And so I go into my favorite LLN, three to four recommendations later. I click through and I go directly to a site. and then I'm captured by this wonderful concierge that greets me at the storefront, on the digital storefront and says, welcome back. Already knows who I am, already knows what I bought, already know what colors I tend to like, what kind of things I may have sent back, for example, and even gives me recommendations of things that I may want next based on my purchasing behavior. That's the kind of personalization we're talking about. So not only have I skipped all of these massive, frustrating steps, I have also been able to find exactly what I want in a very short period of time, and they've upsold me to all of the hat, glove accessories. So now that's the experience of Resolve Commerce. Let's move on to the actual transaction, which is Resolve Pay. They already have my credit card information. when Resolve Pay is live, there will be an elegant handoff where essentially I transact through the exact same platform. And there will be a balance that's live within my account that I'll be able to go and spend again. And it will incentivize me to actually come back because who doesn't love a balance? And then Resolve Reward through loyalty will re-engage me with offers that are available within my own bank payment apps that has scrolled through and seen all of the different things that I've purchased and given me an offer that is personalized just for me for that store that I can go back and redeem whenever I choose to go back. And the merchant will have offered that up and it will actually, they'll pay for it once I actually get there. And finally, there's Resolve insights. Now, this is the part that actually really excites me, and I'm excited to have James up here to talk about it a little bit. Because as somebody who has been in retail for a really long time, both in consumer goods especially and in retailers as well, insights are super, super valuable in the era of AI. It's something that is monetizable in hundreds of different ways. And I can say that also having, you know, been in that business for a long time. So being able to take those insights and eventually turn them into something that will drive your discovery and your visibility, taking data that comes through conversation and being able to enrich it in your PIM so that you have machine-readable data like we talked about. You're able to discover it or use it for discoverability in LLMs. That's all driving the sale. Instead of missed sales, what you're seeing is that flywheel getting stronger and stronger and strong every single time that it's getting used we're trusted by well over 1,000 customers and I know you see a lot of these logos they're familiar to everybody this is what we are doing today we are helping retailers to get chosen get paid we get real incentives that drive a loyalty base with AI and drive higher and higher likelihood of being chosen the next time that a customer comes and does a query and being chosen in those three to four recommendations. The longer that this flywheel runs, like I said, the more valuable it becomes. And we are the only company building the entire sequence of discovery all the way to checkout, all theway to insights, allthe way back to being chosen. this is the new conversion loop that we're talking about essentially like i said sales funnel has collapsed and now we think of it as more of a flywheel and we're doing it with one layer that is no rip and replace for a cut for a retailer that as we know has a lot of legacy technology our customers today are mid to large enterprises 200 million gmv in both the hospitality and in the enterprise merchant space. However, we're actually aiming up the curve to over 500 million. This is not a pilot. This is a full transformation. This is a board decision. So it's with my honor to be able to present to you the first person who's going to go a lot deeper into all of these aspects of getting chosen, which is Lawrence O'Toole. Thank you so much.